Answer:
0.1197 = 11.97% probability that exactly 10 of the 12 individuals favor building the health center
Step-by-step explanation:
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

In which
is the number of different combinations of x objects from a set of n elements, given by the following formula.

And p is the probability of X happening.
66% of the community favored building a health center in their neighborhood.
This means that 
12 citizens
This means that 
What is the probability that exactly 10 of the 12 individuals favor building the health center?
This is P(X = 10).


0.1197 = 11.97% probability that exactly 10 of the 12 individuals favor building the health center
A 1 Pint = 0.5 (1/2<span>) Quarts</span>
The value of x which will make the provided triangles similar by the sss similarity theorem is 77.
<h3>What is SSS similarity theorem?</h3>
The SSS similarity theorem is the theorem which is used to check the two triangle are similar or not.
SSS means the side-side-side. This theorem states that if all the three sides of a triangle are proportional to the three corresponding sides of the another triangle, then the triangles are similar.
In the given image, the sides of the first triangle are 35,20 and 20. The sides of the second triangle are x, 44,44.
Thus, by the SSS similarity theorem,

The value of x which will make the provided triangles similar by the sss similarity theorem is 77.
Learn more about the SSS similarity theorem here;
brainly.com/question/21247688
He is currently 47.
56-9=47 and if you switched it around it would be 47+9=56 so the answer is 47.
Answer:
Step-by-step explanation:
In Excel to create chart, you would have create a data
For instance:
Male Female
year 1 45 60
year 2 18 12
year 3 43 72
year 4 44 40
year 5 23 56
After this, select the whole data and click on "insert" on the "menu bar"
and click on the "recommended charts" to select or choose the best fits (e.g. bar, pie, histogram etc).